Titlebook: Extended Abstracts Fall 2015; Biomedical Big Data; Elizabeth A. Ainsbury,M.Luz Calle,Pere Puig Conference proceedings 2017 Springer Interna

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Trends in Mathematicshttp://image.papertrans.cn/e/image/319792.jpg

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没花的是打扰

https://doi.org/10.1007/978-3-663-10329-5longitudinal process is defined in terms of a proportional-odds cumulative logit model and the time-to-event process through a left-truncated Cox proportional hazards model with information of the longitudinal marker and baseline covariates. Both longitudinal and survival processes are connected by a common vector of random effects.

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粗糙滥制

https://doi.org/10.1007/978-3-030-30394-5rest lies on the association between post-operative glucose profiles, daily therapy with insulin and the risk of death. We propose a two-staged model based approach for flexible modelling of multivariate longitudinal and survival data to study these associations.

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o detect correlations in subsets of bivariate continuous data are discussed. The approaches are based on two-component finite Gaussian mixture models and on parametric bootstrap of the null-hypothesis to generate a reference distribution of the likelihood ratio statistic.

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